(Khaja Bandanawaz University, India.)
Dr. Raafiya Gulmeher is an Assistant Professor in the Department of Computer Science and Engineering at Khaja Bandanawaz University, Gulbarga, Karnataka, India. Her academic background is in computer science and engineering. Her contribution focuses on future developments in autonomous AI, edge intelligence, and connected systems.
S. T. Bahade, Raafiya Gulmeher, Shaik Balkhis Banu. In: Emerging Frontiers of Artificial Intelligence: Intelligent Systems, Connectivity and Digital Innovation — ISBN: 978-81-69935-98-2. Pages: 428 - 451
The integration of autonomous AI, edge computing, and interconnected systems is revolutionising the advancement of future intelligent technology. Traditional computing frameworks frequently rely on centralised cloud systems, constant connectivity, and human-guided decision processes. This section explores the principles, structures, novel technologies, uses, obstacles, and prospective research avenues related to these advancements. A conceptual framework is introduced to demonstrate the amalgamation of autonomous decision-making, distributed intelligence, interconnected devices, and human supervision. Mathematical models for independent decision-making, edge work allocation, and system dependability are also examined. The chapter wraps up by highlighting research prospects in reliable autonomy, energy-efficient intelligence, adaptive networks, decentralised learning, and robust interconnected ecosystems.
